Sustainable Agriculture Volume 22 Issue 2 (2024) · pp. 110-112

DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE

M.Ismailov, O.Ismailov, X.Temirova

Read at source PDF

Abstract

This research paper presents a deep learning-based model using YOLOv8 to detect abnormalities in panoramic dental radiographs. In the course of this experiment, we used the currently widely used Raspberry Pi device and achieved the result by deep learning using the above model.

deep learning, YOLOv8, Raspberry Pi, model, object detection, images, problems, medical.

Metadata source: the journal's OAI-PMH archive · Sindex does not store the full text; it links to the source.

Cite

APA 7 
M.Ismailov, O.Ismailov & X.Temirova (2024). DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE. Sustainable Agriculture, 22(2), 110-112.
GOST R 7.0.5 
M.Ismailov, O.Ismailov, X.Temirova DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE // Sustainable Agriculture. 2024. Т. 22. № 2. С. 110-112.
BibTeX 
@article{m.ismailov2024,
  author  = {M.Ismailov and O.Ismailov and X.Temirova},
  title   = {DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE},
  journal = {Sustainable Agriculture},
  year    = {2024},
  volume  = {22},
  number  = {2},
  pages   = {110-112}
}
RIS 
TY  - JOUR
AU  - M.Ismailov
AU  - O.Ismailov
AU  - X.Temirova
TI  - DENTAL RADIOGRAPHY ANALYSIS USING YOLOV8 DEEPLEARNING USING RASPBBERY PI DEVICE
JO  - Sustainable Agriculture
PY  - 2024
VL  - 22
IS  - 2
SP  - 110
EP  - 112
ER  -